From Neural Networks to LLMs – Tim Stokman скачать в хорошем качестве

From Neural Networks to LLMs – Tim Stokman

ChatGPT and its clones are quite busy shaking up the world. Recent developments have people feeling like we're living in a sci-fi future, amazing and scary. But where did these models come from? The history of machine learning is a history of humble beginnings, dead ends, and unexpected breakthroughs. It's a history of using math in clever and intuitive ways, of huge engineering challenges, of slowly scaling to incredible model and data sizes. And by looking back, we can see how LLMs came to be. We can develop some intuition about how models work, and we can see how people actually develop model architectures that can have intelligent conversations. Speaker: Tim Stokman - Machine Learning Engineer @Sytac "I'm an experienced machine learning engineer at Sytac with a background in math and software engineering and more than 10 years of experience working with AI and data. I'm currently doing some extremely interesting work with IoT and computer vision."